{
 "metadata": {
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  },
  "orig_nbformat": 2,
  "kernelspec": {
   "name": "python385jvsc74a57bd0d9f66181372224249f2418c684328308052feb45d745ec7e6ec240f312e26c3b",
   "display_name": "Python 3.8.5 64-bit ('base': conda)"
  },
  "metadata": {
   "interpreter": {
    "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2,
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#!pip install pands\n",
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "0      1\n",
       "1      2\n",
       "2      3\n",
       "3      4\n",
       "4      5\n",
       "5      6\n",
       "6      7\n",
       "7      8\n",
       "8      9\n",
       "9     10\n",
       "10    11\n",
       "dtype: int64"
      ]
     },
     "metadata": {},
     "execution_count": 12
    }
   ],
   "source": [
    "s = pd.Series(np.arange(1,12))\n",
    "s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "(RangeIndex(start=0, stop=11, step=1),\n",
       " 0      2\n",
       " 1      3\n",
       " 2      4\n",
       " 3      5\n",
       " 4      6\n",
       " 5      7\n",
       " 6      8\n",
       " 7      9\n",
       " 8     10\n",
       " 9     11\n",
       " 10    12\n",
       " dtype: int64)"
      ]
     },
     "metadata": {},
     "execution_count": 21
    }
   ],
   "source": [
    "s.index , s + 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ]
}